Proprietary dataset. Our second dataset is extracted from the search logs of a large, popular European e-commerce platform.
The main language of the dataset is Dutch.
This dataset contains sampled queries from ten days of users' search logs.
We leverage the first nine days as training data and the last day queries as test data.
For each query, we know the items rendered on the first result page.
We only use the title for each item, which contains a short description of the product to be consistent with the CIKM 2016 data.
We label positive matches between queries and items according to observed click-through data, and remove sessions without clicks from the dataset [1]}. In the preprocessing step, we remove punctuation marks, HTML tags, and other unknown characters from the text. Also, we lowercase all the tokens.
